Frame level likelihood normalization for text-independent speaker identification using Gaussian mixture models. - Konstantin P. Markov; Seiichi Nakagawa (ICSLP, 1996)

Speaker verification using frame and utterance level likelihood normalization. - Seiichi Nakagawa; Konstantin P. Markov (ICASSP, 1997)

Text-independent speaker recognition using multiple information sources. - Konstantin P. Markov; Seiichi Nakagawa (ICSLP, 1998)

Discriminative training of GMM using a modified EM algorithm for speaker recognition. - Konstantin P. Markov; Seiichi Nakagawa (ICSLP, 1998)

Text-independent speaker recognition using non-linear frame likelihood transformation. - Konstantin P. Markov; Seiichi Nakagawa (Speech Commun., 1998)

Frame level likelihood transformations for ASR and utterance verification. - Konstantin P. Markov; Satoshi Nakamura 001 (INTERSPEECH, 2000)

Discriminative training of HMM using maximum normalized likelihood algorithm. - Konstantin Markov; Seiichi Nakagawa; Satoshi Nakamura 001 (ICASSP, 2001)

Modeling HMM state distributions with Bayesian networks. - Konstantin Markov; Satoshi Nakamura 001 (INTERSPEECH, 2002)

Hybrid HMM/BN LVCSR system integrating multiple acoustic features. - Konstantin Markov; Satoshi Nakamura 001 (ICASSP (1), 2003)

Hybrid HMM/BN ASR system integrating spectrum and articulatory features. - Konstantin Markov; Jianwu Dang; Yosuke Iizuka; Satoshi Nakamura 001 (INTERSPEECH, 2003)

A statistical lexicon for non-native speech recognition. - Rainer Gruhn; Konstantin Markov; Satoshi Nakamura 001 (INTERSPEECH, 2004)

Integration of articulatory dynamic parameters in HMM/BN based speech recognition system. - Konstantin Markov; Satoshi Nakamura 001; Jianwu Dang (INTERSPEECH, 2004)

Speech recognition system robust to noise and speaking styles. - Shigeki Matsuda; Takatoshi Jitsuhiro; Konstantin Markov; Satoshi Nakamura 001 (INTERSPEECH, 2004)

Multi-lingual speech recognition system for speech-to-speech translation. - Satoshi Nakamura 001; Konstantin Markov; Takatoshi Jitsuhiro; Jinsong Zhang 001; Hirofumi Yamamoto; Gen-ichiro Kikui (IWSLT, 2004)

Modeling Successive Frame Dependencies with Hybrid HMM/BN Acoustic Model. - Konstantin Markov; Satoshi Nakamura 001 (ICASSP (1), 2005)

Incorporating a Bayesian wide phonetic context model for acoustic rescoring. - Sakriani Sakti; Satoshi Nakamura 001; Konstantin Markov (INTERSPEECH, 2005)

Incorporation of Pentaphone-Context Dependency Based on Hybrid Hmm/Bn Acoustic Modeling Framework. - Sakriani Sakti; Konstantin Markov; Satoshi Nakamura 001 (ICASSP (1), 2006)

Forward-backwards training of hybrid HMM/BN acoustic models. - Konstantin Markov; Satoshi Nakamura 001 (INTERSPEECH, 2006)

The use of Bayesian network for incorporating accent, gender and wide-context dependency information. - Sakriani Sakti; Konstantin Markov; Satoshi Nakamura 001 (INTERSPEECH, 2006)

Using Hybrid HMM/BN Acoustic Models: Design and Implementation Issues. - Konstantin Markov; Satoshi Nakamura 001 (IEICE Trans. Inf. Syst., 2006)

ATR Parallel Decoding Based Speech Recognition System Robust to Noise and Speaking Styles. - Shigeki Matsuda; Takatoshi Jitsuhiro; Konstantin Markov; Satoshi Nakamura 001 (IEICE Trans. Inf. Syst., 2006)

A Hybrid HMM/BN Acoustic Model Utilizing Pentaphone-Context Dependency. - Sakriani Sakti; Konstantin Markov; Satoshi Nakamura 001 (IEICE Trans. Inf. Syst., 2006)

Improving Acoustic Model Precision by Incorporating a Wide Phonetic Context Based on a Bayesian Framework. - Sakriani Sakti; Satoshi Nakamura 001; Konstantin Markov (IEICE Trans. Inf. Syst., 2006)

Integration of articulatory and spectrum features based on the hybrid HMM/BN modeling framework. - Konstantin Markov; Jianwu Dang; Satoshi Nakamura 001 (Speech Commun., 2006)

The ATR multilingual speech-to-speech translation system. - Satoshi Nakamura 001; Konstantin Markov; Hiromi Nakaiwa; Gen-ichiro Kikui; Hisashi Kawai; Takatoshi Jitsuhiro; Jinsong Zhang 001; Hirofumi Yamamoto; Eiichiro Sumita; Seiichi Yamamoto (IEEE Trans. Speech Audio Process., 2006)

Never-ending learning system for on-line speaker diarization. - Konstantin Markov; Satoshi Nakamura 001 (ASRU, 2007)

A method to integrate additional knowledge sources into HMM based on junction tree decomposition. - Sakriani Sakti; Konstantin Markov; Satoshi Nakamura 001 (EUSIPCO, 2007)

Never-ending learning with dynamic hidden Markov network. - Konstantin Markov; Satoshi Nakamura 001 (INTERSPEECH, 2007)

An HMM acoustic model incorporating various additional knowledge sources. - Sakriani Sakti; Konstantin Markov; Satoshi Nakamura 001 (INTERSPEECH, 2007)

Incorporating Knowledge Sources Into a Statistical Acoustic Model for Spoken Language Communication Systems. - Sakriani Sakti; Konstantin Markov; Satoshi Nakamura 001 (IEEE Trans. Computers, 2007)

Language identification with dynamic hidden Markov network. - Konstantin Markov; Shun Nakamura (ICASSP, 2008)

Development of Indonesian Large Vocabulary Continuous Speech Recognition System within A-STAR Project. - Sakriani Sakti; Eka Kelana; Hammam Riza; Shinsuke Sakai; Konstantin Markov; Satoshi Nakamura 001 (IJCNLP, 2008)

Improved novelty detection for online GMM based speaker diarization. - Konstantin Markov; Satoshi Nakamura 001 (INTERSPEECH, 2008)

Probabilistic Pronunciation Variation Model Based on Bayesian Network for Conversational Speech Recognition. - Sakriani Sakti; Konstantin Markov; Satoshi Nakamura 001 (ISUC, 2008)

Speech activity and speaker novelty detection methods for meeting processing. - Masahide Sugiyama; Konstantin Markov; Andrey Ronzhin; Victor Budkov; Alexey Karpov 001; Maria Prischepa (ICUMT, 2009)

Incorporating Knowledge Sources into Statistical Speech Recognition - Sakriani Sakti; Satoshi Nakamura 001; Konstantin Markov; Wolfgang Minker (Springer, 2009)

Recent Developments in the Russian Speech Recognition Technology. - Daria Vazhenina; Konstantin Markov (ACIS-ICIS, 2010)

Viseme-dependent weight optimization for CHMM-based audio-visual speech recognition. - Alexey Karpov 001; Andrey Ronzhin; Konstantin Markov; Milos Zelezný (INTERSPEECH, 2010)

Phoneme set selection for russian speech recognition. - Daria Vazhenina; Konstantin Markov (NLPKE, 2011)

State-of-the-art speech recognition technologies for Russian language. - Daria Vazhenina; Irina S. Kipyatkova; Konstantin Markov; Alexey Karpov 001 (HCCE, 2012)

Music genre classification using self-taught learning via sparse coding. - Konstantin Markov; Tomoko Matsui (ICASSP, 2012)

Nonnegative matrix factorization based self-taught learning with application to music genre classification. - Konstantin Markov; Tomoko Matsui (MLSP, 2012)

Factored language modeling for Russian LVCSR. - Daria Vazhenina; Konstantin Markov (iCAST/UMEDIA, 2013)

Music Emotion Recognition using Gaussian Processes. - Konstantin Markov; Motofumi Iwata; Tomoko Matsui (MediaEval, 2013)

Music genre classification using Gaussian Process models. - Konstantin Markov; Tomoko Matsui (MLSP, 2013)

Evaluation of Advanced Language Modeling Techniques for Russian LVCSR. - Daria Vazhenina; Konstantin Markov (SPECOM, 2013)

High level feature extraction for the self-taught learning algorithm. - Konstantin Markov; Tomoko Matsui (EURASIP J. Audio Speech Music. Process., 2013)

Dynamic Music Emotion Recognition Using State-Space Models. - Konstantin Markov; Tomoko Matsui (MediaEval, 2014)

Emotional Analysis of Music: A Comparison of Methods. - Mohammad Soleymani 001; Anna Aljanaki; Yi-Hsuan Yang; Michael N. Caro; Florian Eyben; Konstantin Markov; Björn W. Schuller; Remco C. Veltkamp; Felix Weninger; Frans Wiering (ACM Multimedia, 2014)

Sequence memoizer based language model for Russian speech recognition. - Daria Vazhenina; Konstantin Markov (SLTU, 2014)

Music Genre and Emotion Recognition Using Gaussian Processes. - Konstantin Markov; Tomoko Matsui (IEEE Access, 2014)

Large vocabulary Russian speech recognition using syntactico-statistical language modeling. - Alexey Karpov 001; Konstantin Markov; Irina S. Kipyatkova; Daria Vazhenina; Andrey Ronzhin (Speech Commun., 2014)

Dynamic speech emotion recognition with state-space models. - Konstantin Markov; Tomoko Matsui; François Septier; Gareth W. Peters (EUSIPCO, 2015)

Dynamic Music Emotion Recognition Using Kernel Bayes' Filter. - Konstantin Markov; Tomoko Matsui (MediaEval, 2015)

Robust Speech Recognition Using Generalized Distillation Framework. - Konstantin Markov; Tomoko Matsui (INTERSPEECH, 2016)

Articulatory and spectrum features integration using generalized distillation framework. - Jianguo Yu; Konstantin Markov; Tomoko Matsui (MLSP, 2016)

Deep learning based personality recognition from Facebook status updates. - Jianguo Yu; Konstantin Markov (iCAST, 2017)

Unified User-Interface and Protocol for Managing Heterogeneous Deep Learning Services. - Absalom Shu; Konstantin Markov; Alexander Vazhenin; Ruth Cortez; Subhash Bhalla; Shashank Shrestha (SoMeT, 2017)

Speaking Style Based Apparent Personality Recognition. - Jianguo Yu; Konstantin Markov; Alexey Karpov 001 (SPECOM, 2019)

Articulatory and Spectrum Information Fusion Based on Deep Recurrent Neural Networks. - Jianguo Yu; Konstantin Markov; Tomoko Matsui (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Medical Image Enhancement Using Super Resolution Methods. - Koki Yamashita; Konstantin Markov (ICCS (5), 2020)

Prediction of Creaky Speech by Recurrent Neural Networks Using Psychoacoustic Roughness. - Julián Villegas; Konstantin Markov; Jeremy Perkins; Seunghun J. Lee (IEEE J. Sel. Top. Signal Process., 2020)

Personality Prediction from Social Media Posts using Text Embedding and Statistical Features. - Seiyu Majima; Konstantin Markov (FedCSIS, 2022)

Sentence embedding based emotion recognition from text data. - Manabu Ito; Konstantin Markov (RACS, 2022)

Future-generation personality prediction from digital footprints. - Yash Mehta; Clemens Stachl; Konstantin Markov; Joseph T. Yun; Björn W. Schuller (Future Gener. Comput. Syst., 2022)

Using Large Language Models for Bug Localization and Fixing. - Do Viet Tung; Konstantin Markov (iCAST, 2023)

Psychoacoustic features explain creakiness classifications made by naive and non-naive listeners. - Julián Villegas; Seunghun J. Lee; Jeremy Perkins; Konstantin Markov (Speech Commun., 2023)

Combining Graph NN and LLM for Improved Text-Based Emotion Recognition. - Xinhao Zou; Konstantin Markov (AIMSA, 2024)

FastSpeech2 Based Japanese Emotional Speech Synthesis. - Masaki Ikeda; Konstantin Markov (IS, 2024)

Neural Cough Counter: A Novel Deep Learning Approach for Cough Detection and Monitoring. - Zongyao Feng; Konstantin Markov; Junpei Saito; Tomoko Matsui (IEEE Access, 2024)

Token Memory Transformer with Infinite Context. - Taize Sun; Katsuhide Fujita; Konstantin Markov; Shengbo Chang (ICIC (24), 2025)